eLocs

Version 0.1.2.1 (48.8 MB) by neuromechanist
Functions to digitize EEG electrode locations (eLocs) using 3D scanners and motion capture
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Updated 12 May 2023
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This package provides functions for localizing EEG electrode locations using 3D scanners or motion capture system. Two 3D scans are provided as samples.

The code was tested for MATLAB R2018a+ and requires Statistics and Neural Network Toolbox.
Tested Scanners are Occipital Structure scanner Mark I, and EinScan Shining Pro+.
Tested motion capture was OptiTrack with a digitizing probe.
For further information see: https://doi.org/10.3389/fnins.2019.01159

Cite As

Shirazi, Seyed Yahya, and Helen J. Huang. “More Reliable EEG Electrode Digitizing Methods Can Reduce Source Estimation Uncertainty, but Current Methods Already Accurately Identify Brodmann Areas.” Frontiers in Neuroscience, vol. 13, Frontiers Media SA, Nov. 2019, doi:10.3389/fnins.2019.01159.

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MATLAB Release Compatibility
Created with R2017b
Compatible with R2017b and later releases
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
0.1.2.1

Fixed a minor bug regarding channel labels. Check the commit for the details.
Thanks to Anna McGough for pointing out the problem.
0.1.2

Added support for digitizing using the motion capture method. See Shirazi and Huang 2019 for more information.

0.1.1

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.